Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.7465  0.0018  0.0714  0.3168  0.0446  0.11
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   40  0.6744  0.0014  0.0724  0.2626  0.2628  0.26
Bacha 2000   48  0.6636  0.0050  0.0455  0.0423  0.2253  0.09
Badura 1965   31  0.7069  0.0054  0.0550  0.0534  0.3241  0.13
Barbosa 1983   71  0.5441  0.0051  0.0551  0.0521  0.2445  0.11
Biret 1990   29  0.706  0.0521  0.0716  0.3017  0.3810  0.34
Blet 2003   57  0.6181  0.0074  0.0467  0.0450  0.0673  0.05
Block 1995   36  0.6924  0.0111  0.0913  0.327  0.427  0.37
Blumental 1952   69  0.5554  0.0057  0.0461  0.0473  0.0484  0.04
Boshniakovich 1969   10  0.7631  0.0115  0.0718  0.2928  0.3415  0.31
Brailowsky 1960   11  0.7516  0.0141  0.0642  0.1519  0.3431  0.23
Bunin 1987   83  0.4267  0.0073  0.0379  0.0339  0.1959  0.08
Bunin 1987b   84  0.4076  0.0072  0.0374  0.0340  0.1862  0.07
Chiu 1999   39  0.679  0.0313  0.0834  0.2216  0.3026  0.26
Cohen 1997   85  0.3962  0.0087  0.0372  0.0352  0.0586  0.04
Cortot 1951   55  0.6263  0.0063  0.0465  0.0446  0.0587  0.04
Csalog 1996   86  0.3368  0.0079  0.0382  0.0349  0.0579  0.04
Czerny 1949   25  0.7234  0.0045  0.0746  0.0741  0.1942  0.12
Czerny 1990   6  0.7717  0.0124  0.0621  0.2626  0.2629  0.26
Duchoud 2007   75  0.5052  0.0056  0.0464  0.0452  0.0582  0.04
Ezaki 2006   1  0.833  0.112  0.222  0.504  0.562  0.53
Falvay 1989   72  0.5225  0.0184  0.0385  0.0348  0.0971  0.05
Farrell 1958   46  0.6782  0.0040  0.0541  0.1631  0.2734  0.21
Ferenczy 1958   54  0.6442  0.0071  0.0460  0.0436  0.1166  0.07
Fliere 1977   4  0.817  0.055  0.173  0.4825  0.278  0.36
Fou 1978   35  0.6922  0.0144  0.0644  0.1142  0.1047  0.10
Francois 1956   52  0.6432  0.0158  0.0462  0.0442  0.1168  0.07
Friedman 1923   12  0.7523  0.0134  0.0819  0.2735  0.3318  0.30
Friedman 1923b   20  0.7439  0.0035  0.0722  0.2637  0.3321  0.29
Friedman 1930   7  0.7613  0.0133  0.0526  0.2533  0.3420  0.29
Garcia 2007   47  0.6649  0.0043  0.0643  0.1245  0.0851  0.10
Garcia 2007b   62  0.5984  0.0053  0.0649  0.0654  0.0575  0.05
Gierzod 1998   17  0.7435  0.009  0.089  0.3829  0.2712  0.32
Gornostaeva 1994   9  0.764  0.104  0.135  0.451  0.613  0.52
Groot 1988   60  0.6058  0.0048  0.0457  0.0438  0.2157  0.09
Harasiewicz 1955   3  0.8210  0.026  0.174  0.4614  0.406  0.43
Hatto 1993   26  0.7027  0.0137  0.0730  0.2423  0.3025  0.27
Hatto 1997   22  0.7370  0.0038  0.1028  0.2426  0.3024  0.27
Horowitz 1949   45  0.6764  0.0046  0.0647  0.0633  0.3637  0.15
Indjic 1988   21  0.7326  0.0136  0.0727  0.2526  0.3023  0.27
Kapell 1951   65  0.5840  0.0029  0.0635  0.2157  0.0548  0.10
Kissin 1993   37  0.6818  0.0139  0.0737  0.2142  0.1038  0.14
Kushner 1989   19  0.7412  0.0228  0.0617  0.3026  0.3117  0.30
Luisada 1991   8  0.7686  0.007  0.0915  0.3119  0.3113  0.31
Lushtak 2004   50  0.6555  0.0059  0.0456  0.0464  0.0483  0.04
Malcuzynski 1961   63  0.5956  0.0060  0.0463  0.0424  0.2449  0.10
Magaloff 1978   56  0.6260  0.0075  0.0378  0.0350  0.0677  0.04
Magin 1975   33  0.691  0.141  0.146  0.4412  0.464  0.45
Michalowski 1933   61  0.6066  0.0069  0.0287  0.0265  0.0589  0.03
Milkina 1970   5  0.7730  0.0110  0.087  0.4210  0.495  0.45
Mohovich 1999   28  0.705  0.078  0.0810  0.3729  0.339  0.35
Moravec 1969   82  0.4346  0.0086  0.0377  0.0358  0.0576  0.04
Morozova 2008   38  0.6877  0.0032  0.0638  0.1933  0.2035  0.19
Neighaus 1950   13  0.7559  0.0030  0.0623  0.2632  0.2133  0.23
Niedzielski 1931   49  0.6553  0.0052  0.0454  0.0442  0.1361  0.07
Ohlsson 1999   16  0.7514  0.0112  0.0812  0.3326  0.3014  0.31
Osinska 1989   2  0.822  0.143  0.211  0.614  0.611  0.61
Pachmann 1927   41  0.6787  0.0076  0.0383  0.0332  0.1664  0.07
Paderewski 1930   51  0.6415  0.0164  0.0468  0.0440  0.1163  0.07
Perlemuter 1992   34  0.6961  0.0047  0.0845  0.0869  0.0469  0.06
Pierdomenico 2008   81  0.4588  0.0066  0.0373  0.0337  0.1958  0.08
Poblocka 1999   59  0.6119  0.0116  0.0736  0.2142  0.1336  0.17
Rabcewiczowa 1932   68  0.5651  0.0080  0.0458  0.0468  0.0478  0.04
Rachmaninoff 1923   14  0.7545  0.0031  0.0532  0.2325  0.2432  0.23
Rangell 2001   79  0.4820  0.0122  0.0640  0.175  0.4922  0.29
Richter 1976   67  0.5637  0.0068  0.0375  0.0338  0.2855  0.09
Rosen 1989   27  0.7029  0.0119  0.0731  0.2426  0.2730  0.25
Rosenthal 1930   70  0.558  0.0355  0.0648  0.0620  0.2740  0.13
Rosenthal 1931   77  0.5047  0.0077  0.0381  0.0335  0.1665  0.07
Rosenthal 1931b   78  0.5072  0.0081  0.0380  0.0337  0.1470  0.06
Rosenthal 1931c   80  0.4538  0.0083  0.0552  0.0551  0.0574  0.05
Rosenthal 1931d   73  0.5179  0.0082  0.0376  0.0336  0.1667  0.07
Rossi 2007   43  0.6728  0.0167  0.0466  0.0426  0.2843  0.11
Rubinstein 1939   66  0.5678  0.0061  0.0469  0.0438  0.1460  0.07
Rubinstein 1952   87  0.2857  0.0085  0.0386  0.0352  0.0688  0.04
Rubinstein 1966   42  0.6771  0.0062  0.0459  0.0437  0.2450  0.10
Schilhawsky 1960   53  0.6450  0.0049  0.0553  0.0563  0.0480  0.04
Shebanova 2002   32  0.6980  0.0042  0.0739  0.1964  0.0456  0.09
Smith 1975   23  0.7211  0.0223  0.0620  0.2617  0.3219  0.29
Sokolov 2002   58  0.6133  0.0027  0.0733  0.2312  0.3816  0.30
Sztompka 1959   15  0.7543  0.0020  0.108  0.3935  0.1727  0.26
Tomsic 1995   76  0.5073  0.0078  0.0384  0.0333  0.2854  0.09
Uninsky 1932   64  0.5848  0.0065  0.0371  0.0365  0.0581  0.04
Uninsky 1971   74  0.5085  0.0070  0.0470  0.0459  0.0672  0.05
Wasowski 1980   24  0.7221  0.0117  0.0611  0.3314  0.3211  0.32
Zak 1937   30  0.7075  0.0025  0.0625  0.2549  0.0544  0.11
Zak 1951   44  0.6774  0.0026  0.0629  0.2445  0.0739  0.13
Random 1   90  -0.2383  0.0089  0.0189  0.0129  0.2085  0.04
Random 2   89  -0.1590  0.0090  0.0190  0.0160  0.0390  0.02
Random 3   88  -0.0989  0.0088  0.0288  0.0211  0.4652  0.10

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).